• Journal of the Korean Society for Precision Engineering
• /
• v.21 no.4
• /
• pp.12-18
• /
• 2004

본 글에서는 인체로부터 생체전기신호를 측정하고 처리 및 해석하는 기술을 소개한다. 일반적인 계측 시스템을 구성하는 필수적인 네 가지 요소는 측정대상, 센서부, 신호처리부, 그리고 출력부이다. 생체전기신호의 측정에서 측정대상은 인체를 포함하는 생명체이다. 경우에 따라서는 생명체로부터 떼어 낸 특정 부위가 측정대상이 될 수도 있으나 본 글에서는 살아 있는 인체를 측정대상으로 설정하기로 한다. 또한 인체로부터 방사되는 에너지를 측정하는 비접촉 방식은 다루지 않고, 측정 부위를 인체의 내부 또는 표면으로 제한한다. 즉, 센서를 측정 부위에 직접 부착하는 접촉형 인체-센서 인터페이스 방법을 사용하는 경우만을 다루기로 한다.(중략)

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.11
• /
• pp.2480-2487
• /
• 2011

As sensor technology grows up in fields such as environmental hazards detecting system, ubiquitous sensor network, intelligent robot, the sensing and detecting system for sensor is increasing. The sensor data is measured by change of chemical and physical status. Because of decrepit sensor or various sensing environment, it is problem that sensor data is inaccurate result. So the reliability of sensor data is essential. In this paper, we proposes a reliable sensor signal processing platform for various sensor. To improve reliability, we use same sensors in multiple array structure. As sensor data is corrected by spatial and temporal relation signal processing algorithm for measured sensor data, reliability of sensor data can be improved. The exclusive protocol between platform components is designed in order to verify sensor data and sensor state in various environment.

• Proceedings of the KIEE Conference
• /
• 2001.07c
• /
• pp.1820-1822
• /
• 2001

광파이버 패브리페로 간섭계에서 동작영역을 넓히기 위해 공진기의 길이를 1mm보다 짧은 초소형 간섭계를 구성하고자 하였을 경우, 광출력의 위상변화에 대한 감도가 낮아 전달함수로부터 변화된 위상을 복원하는 과정이 까다로워진다. 이러한 신호복원 과정에는 대부분 신호잡음비를 높여주는 신호처리 수단을 포함하게 되므로 간섭계가 겪은 위상변화를 보다 높은 신뢰성으로 검출하고자 할 때 어떠한 신호처리 방법이 적절한가하는 선택의 문제가 발생된다. 이는 각각의 신호처리방법이 장단점을 가지므로 응용목적에 따른 trade-off가 필요하기 때문이다. 본 연구에서는 참조 간섭계와 센서 간섭계 간의 correlation으로부터 위상을 검출하여 시스템의 잡음을 common mode 잡음으로 처리할 수 있었으며, 디지털 신호처리기법을 응용하여 짧은 공진기로 구성된 센서 간섭계의 위상변화분을 보다 안정적으로 검출하게 되었다.

• The Journal of the Acoustical Society of Korea
• /
• v.29 no.7
• /
• pp.411-421
• /
• 2010

A time-reversal mirror (TRM) is useful in diverse areas, such as reverberation ing, target echo enhancement and underwater communication. In underwater communication, the bit error rate has been improved significantly due to the increased signal-to-noise ratio by spatio-temporal focusing. This paper deals with two issues. First, the optimal number of array elements for a given environment was investigated based on the exploitation of spatial diversity. Second, an algorithm was developed to determine the optimal location of the given number of array elements. The formulation is based on a genetic algorithm maximizing the contrast between the foci and area of interest as an objective function. In addition, the developed algorithm was applied to the matched field processing with ocean experimental data for verification. The sea-going data and simulation showed almost 3 dB improvement in the output power at the foci when the array elements were optimally distributed.

• Journal of the Institute of Convergence Signal Processing
• /
• v.22 no.2
• /
• pp.79-84
• /
• 2021

The most important device of the AGV is the guide sensor, and the typical function of this sensor is high accuracy and extraction of the road. If the accuracy of the guide sensor is low or the sensor device is extracted the wrong track, this causes the problems such as the AGV collision, track-out, the load falling due to AGV swing. In order to improve these problems, this study is proposed a signal processing method of the guide sensor based on multi-maskings and the center of gravity method, and evaluated its performance. As a result, the proposed method showed that the mean error of absolute value is 2.32[mm] and it showed performance improvement of 27[%] than the center of gravity method of existence. Therefore, when the proposed signal processing method is applied, It is thought that the posture control and driving stability of the AGV will be improved.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.3
• /
• pp.978-983
• /
• 2010

Acoustic target classification in wireless sensor network is important research at environmental surveillance, invasion surveillance, multiple target separation. General sensor node signal processing methods concentrated on received signal energy based target detection and received raw signal compression. The former is not suited to target classification because of almost every target information are lost except target energy. The latter bring down life-time of sensor node owing to high computational complexity and transmission energy. In this paper, we introduce an feature extraction algorithm for acoustic target classification in wireless sensor network which has time and frequency information. The proposed method extracts time information and de-noised target classification information using wavelet decomposition step. This method reduces communication energy by 28% of original signal and computational complexity.

• Journal of Sensor Science and Technology
• /
• v.6 no.3
• /
• pp.172-179
• /
• 1997

This paper describes a multiplexed-multivariate fiber-optic interferometric sensor system with remote sensing capability. Signal processor of the implemented sensor system is designed as a digital fringe counter that is well adapted to the signal processing of the remote fiber-optic Fabry-Perot interferometric sensor array. By summing up the reported optical data of the optical fiber, a guideline for choosing the optical effect suitable for a specific measurand is presented. As an example, a pressure sensing device that utilizes the strain-optic effect of the optical fiber by attaching it onto a stainless steel diaphragm of which diameter is 4.3 cm, is built and attached to the sensor system. The changes in optical phase difference of the fiber-optic Fabry-Perot interferometric press ure sensor while filling a water tank 2 meters high, was counted by the half-fringe counting signal processor. Test results showed that the measurement error is less than ${\pm}3.6\;cm$ over the measured range of 2 meters.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.4A
• /
• pp.466-471
• /
• 2004

This paper proposes an advanced circuit for fingerprint sensor signal processing. We increased the voltage between ridge and valley by modifying the parasitic capacitance eliminating circuit of sensor plate. The analog comparator was designed for comparing the sensor signal voltage with the reference signal voltage. 1-Pixel Fingerprint sensor circuit was designed and simulated, and the layout was performed.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1756-1759
• /
• 2015

웨어러블 디바이스의 등장과 여러종류의 센서탑재로 행위데이터를 수집하는것이 수월해졌다. 행위패턴 모델링에 앞서 사용자의 행위에따른 신호변화와 신호패턴을 파악하기위해 분석을 실시하였다. Moto360의 3축 가속도 센서를 이용 사용자에 행위에대한 센서신호값을 수집하여 행위에따른 신호값을 수집하였으며, 수집된 신호값과 신호값으로부터 SVM(Signal Vector Magnitude)값을 구해 사용자의 각 행위들에 대해 신호값과 SVM값의 특징을 분석하여 측정 신호값으로부터 행위를 인식할수 있도록 시도하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.05a
• /
• pp.796-799
• /
• 2008

최근 유비쿼터스 컴퓨팅과 유비쿼터스 네트워크를 활용하여 새로운 서비스들을 개발하려는 노력이 진행 중이며, 이와 관련된 기술의 중요성도 급증하고 있다. 특히 감시정찰 센서네트워크의 핵심 구성요소인 저가의 경량 센서노드에서 측정한 미가공 데이터(raw data)를 사용하여 침입 물체의 실시간 탐지, 식별, 추적 및 예측하기 위한 디지털 신호처리 기술은 주요 기술 중 하나이다. 본 논문에서는 감시정찰 센서네트워크의 핵심 구성요소인 소리센서 노드에서 측정한 소리 미가공 데이터를 사용하여 차량을 탐지할 수 있는 소리센서 디지털 신호처리 알고리즘을 설계 및 구현 한다. 알고리즘의 주 목표는 감시정찰용 센서노드의 탐지 신뢰성을 높이기 위한 높은 침입물체 탐지 성공률(success rate)과 낮은 허위신고(false alarm) 횟수를 가지는 것이다. 성능평가 결과에 의하면 제안한 AMIDA 알고리즘은 90% 이상의 탐지 성공률과 2 회 이하의 허위신고 횟수를 가지는 것을 확인할 수 있었다.